Failing Fast on IO [String] - haskell

Given an IO [String] representing a list of emails:
λ: let emails = return ["foo#bar.com", "bip#bap.net"] :: IO [String]
And a function that automatically fails to delete an email:
λ: let deleteEmail email = return $ Left "failed" :: IO (Either String ())
I then looked at how to, for each email in the list, attempt to delete each email. However, when a single email fails to delete, I'd like to stop, i.e. similar to sequence's behavior.
λ: do { e <- emails; _ <- deleteEmail e; return e }
["foo#bar.com","bip#bap.net"]
λ: do { e <- emails; result <- deleteEmail e; return result }
Left "failed"
However, from looking at the first do's output, when failing to delete foo#bar.com, the do continues to try to delete bip#bap.net.
How can I modify the above code to fail on the first email deletion failure?

There's quite a number of options, but I'd look at three of them, in my order of preference here.
Use EitherT transformer over IO instead of IO (Either a) (you'll need to install either package)
Use fail from Monad instance of IO.
throw an exception.

As the other answer indicates you can use the ExceptT or EitherT monad transformers. ExceptT represents an Either along with an underlying monad (IO in this case) in which you can evaluate actions using lift. Since EihterT forms a monad (and therefore applicative) you can use sequence_ to combine the deletions of all emails and fail on the first failure e.g.
import Control.Monad.Trans.Except
import Control.Monad.IO.Class (liftIO)
import Data.Foldable (sequence_)
getEmails :: IO [String]
getEmails = return ["foo#bar.com", "bip#bap.net", "something#example.com"]
deleteEmail :: String -> ExceptT String IO ()
deleteEmail email = do
liftIO $ putStrLn ("Deleting " ++ email)
if (isPrefixOf "bip" email)
then throwE email
else return ()
deleteAllEmails :: [String] -> ExceptT String IO ()
deleteAllEmails = sequence_ . map deleteEmail
doDelete :: [String] -> IO ()
doDelete emails = do
e <- runExceptT $ deleteAllEmails emails
case e of
Left err -> putStrLn $ "Failed: " ++ err
Right _ -> putStrLn "success!"
You might also want to consider using Maybe String instead of Either String () and the corresponding MaybeT transformer.

Related

Memoizing and repeating IO monads

EDITED 2015-11-29: see bottom
I'm trying to write an application that has a do-last-action-again button. The command in question can ask for input, and my thought for how to accomplish this was to just rerun the resulting monad with memoized IO.
There are lots of posts on SO with similar questions, but none of the solutions seem to work here.
I lifted the memoIO code from this SO answer, and changed the implementation to run over MonadIO.
-- Memoize an IO function
memoIO :: MonadIO m => m a -> m (m a)
memoIO action = do
ref <- liftIO $ newMVar Nothing
return $ do
x <- maybe action return =<< liftIO (takeMVar ref)
liftIO . putMVar ref $ Just x
return x
I've got a small repro of my app's approach, the only real difference being my app has a big transformer stack instead of just running in IO:
-- Global variable to contain the action we want to repeat
actionToRepeat :: IORef (IO String)
actionToRepeat = unsafePerformIO . newIORef $ return ""
-- Run an action and store it as the action to repeat
repeatable :: IO String -> IO String
repeatable action = do
writeIORef actionToRepeat action
action
-- Run the last action stored by repeatable
doRepeat :: IO String
doRepeat = do
x <- readIORef actionToRepeat
x
The idea being I can store an action with memoized IO in an IORef (via repeatable) when I record what was last done, and then do it again it out with doRepeat.
I test this via:
-- IO function to memoize
getName :: IO String
getName = do
putStr "name> "
getLine
main :: IO ()
main = do
repeatable $ do
memoized <- memoIO getName
name <- memoized
putStr "hello "
putStrLn name
return name
doRepeat
return ()
with expected output:
name> isovector
hello isovector
hello isovector
but actual output:
name> isovector
hello isovector
name> wasnt memoized
hello wasnt memoized
I'm not entirely sure what the issue is, or even how to go about debugging this. Gun to my head, I'd assume lazy evaluation is biting me somewhere, but I can't figure out where.
Thanks in advance!
EDIT 2015-11-29: My intended use case for this is to implement the repeat last change operator in a vim-clone. Each action can perform an arbitrary number of arbitrary IO calls, and I would like it to be able to specify which ones should be memoized (reading a file, probably not. asking the user for input, yes).
the problem is in main you are creating a new memo each time you call the action
you need to move memoized <- memoIO getName up above the action
main :: IO ()
main = do
memoized <- memoIO getName --moved above repeatable $ do
repeatable $ do
--it was here
name <- memoized
putStr "hello "
putStrLn name
return name
doRepeat
return ()
edit: is this acceptable
import Data.IORef
import System.IO.Unsafe
{-# NOINLINE actionToRepeat #-}
actionToRepeat :: IORef (IO String)
actionToRepeat = unsafePerformIO . newIORef $ return ""
type Repeatable a = IO (IO a)
-- Run an action and store the Repeatable part of the action
repeatable :: Repeatable String -> IO String
repeatable action = do
repeatAction <- action
writeIORef actionToRepeat repeatAction
repeatAction
-- Run the last action stored by repeatable
doRepeat :: IO String
doRepeat = do
x <- readIORef actionToRepeat
x
-- everything before (return $ do) is run just once
hello :: Repeatable String
hello = do
putStr "name> "
name <- getLine
return $ do
putStr "hello "
putStrLn name
return name
main :: IO ()
main = do
repeatable hello
doRepeat
return ()
I came up with a solution. It requires wrapping the original monad in a new transformer which records the results of IO and injects them the next time the underlying monad is run.
Posting it here so my answer is complete.
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# LANGUAGE LambdaCase #-}
import Control.Applicative (Applicative(..))
import Data.Dynamic
import Data.Maybe (fromJust)
import Control.Monad.RWS
-- | A monad transformer adding the ability to record the results
-- of IO actions and later replay them.
newtype ReplayT m a =
ReplayT { runReplayT :: RWST () [Dynamic] [Dynamic] m a }
deriving ( Functor
, Applicative
, Monad
, MonadIO
, MonadState [Dynamic]
, MonadWriter [Dynamic]
, MonadTrans
)
-- | Removes the first element from a list State and returns it.
dequeue :: MonadState [r] m
=> m (Maybe r)
dequeue = do
get >>= \case
[] -> return Nothing
(x:xs) -> do
put xs
return $ Just x
-- | Marks an IO action to be memoized after its first invocation.
sample :: ( MonadIO m
, Typeable r)
=> IO r
-> ReplayT m r
sample action = do
a <- dequeue >>= \case
Just x -> return . fromJust $ fromDynamic x
Nothing -> liftIO action
tell [toDyn a]
return a
-- | Runs an action and records all of its sampled IO. Returns a
-- action which when invoked will use the recorded IO.
record :: Monad m
=> ReplayT m a
-> m (m a)
record action = do
(a, w) <- evalRWST (runReplayT action) () []
return $ do
evalRWST (runReplayT action) () w
return a

Simplest non-trivial monad transformer example for "dummies", IO+Maybe

Could someone give a super simple (few lines) monad transformer example, which is non-trivial (i.e. not using the Identity monad - that I understand).
For example, how would someone create a monad that does IO and can handle failure (Maybe)?
What would be the simplest example that would demonstrate this?
I have skimmed through a few monad transformer tutorials and they all seem to use State Monad or Parsers or something complicated (for a newbee). I would like to see something simpler than that. I think IO+Maybe would be simple, but I don't really know how to do that myself.
How could I use an IO+Maybe monad stack?
What would be on top? What would be on bottom? Why?
In what kind of use case would one want to use the IO+Maybe monad or the Maybe+IO monad? Would that make sense to create such a composite monad at all? If yes, when, and why?
This is available here as a .lhs file.
The MaybeT transformer will allow us to break out of a monad computation much like throwing an exception.
I'll first quickly go over some preliminaries. Skip down to Adding Maybe powers to IO for a worked example.
First some imports:
import Control.Monad
import Control.Monad.Trans
import Control.Monad.Trans.Maybe
Rules of thumb:
In a monad stack IO is always on the bottom.
Other IO-like monads will also, as a rule, always appear on the bottom, e.g. the state transformer monad ST.
MaybeT m is a new monad type which adds the power of the Maybe monad to the monad m - e.g. MaybeT IO.
We'll get into what that power is later. For now, get used to thinking of MaybeT IO as the maybe+IO monad stack.
Just like IO Int is a monad expression returning an Int, MaybeT IO Int is a MaybeT IO expression returning an Int.
Getting used to reading compound type signatures is half the battle to understanding monad transformers.
Every expression in a do block must be from the same monad.
I.e. this works because each statement is in the IO-monad:
greet :: IO () -- type:
greet = do putStr "What is your name? " -- IO ()
n <- getLine -- IO String
putStrLn $ "Hello, " ++ n -- IO ()
This will not work because putStr is not in the MaybeT IO monad:
mgreet :: MaybeT IO ()
mgreet = do putStr "What is your name? " -- IO monad - need MaybeT IO here
...
Fortunately there is a way to fix this.
To transform an IO expression into a MaybeT IO expression use liftIO.
liftIO is polymorphic, but in our case it has the type:
liftIO :: IO a -> MaybeT IO a
mgreet :: MaybeT IO () -- types:
mgreet = do liftIO $ putStr "What is your name? " -- MaybeT IO ()
n <- liftIO getLine -- MaybeT IO String
liftIO $ putStrLn $ "Hello, " ++ n -- MaybeT IO ()
Now all of the statement in mgreet are from the MaybeT IO monad.
Every monad transformer has a "run" function.
The run function "runs" the top-most layer of a monad stack returning
a value from the inside layer.
For MaybeT IO, the run function is:
runMaybeT :: MaybeT IO a -> IO (Maybe a)
Example:
ghci> :t runMaybeT mgreet
mgreet :: IO (Maybe ())
ghci> runMaybeT mgreet
What is your name? user5402
Hello, user5402
Just ()
Also try running:
runMaybeT (forever mgreet)
You'll need to use Ctrl-C to break out of the loop.
So far mgreet doesn't do anything more than what we could do in IO.
Now we'll work on an example which demonstrates the power of mixing
the Maybe monad with IO.
Adding Maybe powers to IO
We'll start with a program which asks some questions:
askfor :: String -> IO String
askfor prompt = do
putStr $ "What is your " ++ prompt ++ "? "
getLine
survey :: IO (String,String)
survey = do n <- askfor "name"
c <- askfor "favorite color"
return (n,c)
Now suppose we want to give the user the ability to end the survey
early by typing END in response to a question. We might handle it
this way:
askfor1 :: String -> IO (Maybe String)
askfor1 prompt = do
putStr $ "What is your " ++ prompt ++ " (type END to quit)? "
r <- getLine
if r == "END"
then return Nothing
else return (Just r)
survey1 :: IO (Maybe (String, String))
survey1 = do
ma <- askfor1 "name"
case ma of
Nothing -> return Nothing
Just n -> do mc <- askfor1 "favorite color"
case mc of
Nothing -> return Nothing
Just c -> return (Just (n,c))
The problem is that survey1 has the familiar staircasing issue which
doesn't scale if we add more questions.
We can use the MaybeT monad transformer to help us here.
askfor2 :: String -> MaybeT IO String
askfor2 prompt = do
liftIO $ putStr $ "What is your " ++ prompt ++ " (type END to quit)? "
r <- liftIO getLine
if r == "END"
then MaybeT (return Nothing) -- has type: MaybeT IO String
else MaybeT (return (Just r)) -- has type: MaybeT IO String
Note how all of the statemens in askfor2 have the same monad type.
We've used a new function:
MaybeT :: IO (Maybe a) -> MaybeT IO a
Here is how the types work out:
Nothing :: Maybe String
return Nothing :: IO (Maybe String)
MaybeT (return Nothing) :: MaybeT IO String
Just "foo" :: Maybe String
return (Just "foo") :: IO (Maybe String)
MaybeT (return (Just "foo")) :: MaybeT IO String
Here return is from the IO-monad.
Now we can write our survey function like this:
survey2 :: IO (Maybe (String,String))
survey2 =
runMaybeT $ do a <- askfor2 "name"
b <- askfor2 "favorite color"
return (a,b)
Try running survey2 and ending the questions early by typing END as a response to either question.
Short-cuts
I know I'll get comments from people if I don't mention the following short-cuts.
The expression:
MaybeT (return (Just r)) -- return is from the IO monad
may also be written simply as:
return r -- return is from the MaybeT IO monad
Also, another way of writing MaybeT (return Nothing) is:
mzero
Furthermore, two consecutive liftIO statements may always combined into a single liftIO, e.g.:
do liftIO $ statement1
liftIO $ statement2
is the same as:
liftIO $ do statement1
statement2
With these changes our askfor2 function may be written:
askfor2 prompt = do
r <- liftIO $ do
putStr $ "What is your " ++ prompt ++ " (type END to quit)?"
getLine
if r == "END"
then mzero -- break out of the monad
else return r -- continue, returning r
In a sense, mzero becomes a way of breaking out of the monad - like throwing an exception.
Another example
Consider this simple password asking loop:
loop1 = do putStr "Password:"
p <- getLine
if p == "SECRET"
then return ()
else loop1
This is a (tail) recursive function and works just fine.
In a conventional language we might write this as a infinite while loop with a break statement:
def loop():
while True:
p = raw_prompt("Password: ")
if p == "SECRET":
break
With MaybeT we can write the loop in the same manner as the Python code:
loop2 :: IO (Maybe ())
loop2 = runMaybeT $
forever $
do liftIO $ putStr "Password: "
p <- liftIO $ getLine
if p == "SECRET"
then mzero -- break out of the loop
else return ()
The last return () continues execution, and since we are in a forever loop, control passes back to the top of the do block. Note that the only value that loop2 can return is Nothing which corresponds to breaking out of the loop.
Depending on the situation you might find it easier to write loop2 rather than the recursive loop1.
Suppose you have to work with IO values that "may fail" in some sense, like foo :: IO (Maybe a), func1 :: a -> IO (Maybe b) and func2 :: b -> IO (Maybe c).
Manually checking for the presence of errors in a chain of binds quickly produces the dreaded "staircase of doom":
do
ma <- foo
case ma of
Nothing -> return Nothing
Just a -> do
mb <- func1 a
case mb of
Nothing -> return Nothing
Just b -> func2 b
How to "automate" this in some way? Perhaps we could devise a newtype around IO (Maybe a) with a bind function that automatically checks if the first argument is a Nothing inside IO, saving us the trouble of checking it ourselves. Something like
newtype MaybeOverIO a = MaybeOverIO { runMaybeOverIO :: IO (Maybe a) }
With the bind function:
betterBind :: MaybeOverIO a -> (a -> MaybeOverIO b) -> MaybeOverIO b
betterBind mia mf = MaybeOverIO $ do
ma <- runMaybeOverIO mia
case ma of
Nothing -> return Nothing
Just a -> runMaybeOverIO (mf a)
This works! And, looking at it more closely, we realize that we aren't using any particular functions exclusive to the IO monad. Generalizing the newtype a little, we could make this work for any underlying monad!
newtype MaybeOverM m a = MaybeOverM { runMaybeOverM :: m (Maybe a) }
And this is, in essence, how the MaybeT transformer works. I have left out a few details, like how to implement return for the transformer, and how to "lift" IO values into MaybeOverM IO values.
Notice that MaybeOverIO has kind * -> * while MaybeOverM has kind (* -> *) -> * -> * (because its first "type argument" is a monad type constructor, that itself requires a "type argument").
Sure, the MaybeT monad transformer is:
newtype MaybeT m a = MaybeT {unMaybeT :: m (Maybe a)}
We can implement its monad instance as so:
instance (Monad m) => Monad (MaybeT m) where
return a = MaybeT (return (Just a))
(MaybeT mmv) >>= f = MaybeT $ do
mv <- mmv
case mv of
Nothing -> return Nothing
Just a -> unMaybeT (f a)
This will allow us to perform IO with the option of failing gracefully in certain circumstances.
For instance, imagine we had a function like this:
getDatabaseResult :: String -> IO (Maybe String)
We can manipulate the monads independently with the result of that function, but if we compose it as so:
MaybeT . getDatabaseResult :: String -> MaybeT IO String
We can forget about that extra monadic layer, and just treat it as a normal monad.

Can I drop the IO monad on this pure function prettily?

It is quite hard to formulate good questions titles as a newbie. Please make this question search friendly =)
Trying to write my first "real" Haskell program (i.e. not only Project Euler stuff), I am trying to read and parse my configuration file with nice error messages. So far, I have this:
import Prelude hiding (readFile)
import System.FilePath (FilePath)
import System.Directory (doesFileExist)
import Data.Aeson
import Control.Monad.Except
import Data.ByteString.Lazy (ByteString, readFile)
-- Type definitions without real educational value here
loadConfiguration :: FilePath -> ExceptT String IO Configuration
loadConfiguration path = do
fileContent <- readConfigurationFile "C:\\Temp\\config.json"
configuration <- parseConfiguration fileContent
return configuration
readConfigurationFile :: FilePath -> ExceptT String IO ByteString
readConfigurationFile path = do
fileExists <- liftIO $ doesFileExist path
if fileExists then do
fileContent <- liftIO $ readFile path
return fileContent
else
throwError $ "Configuration file not found at " ++ path ++ "."
parseConfiguration :: ByteString -> ExceptT String IO Configuration
parseConfiguration raw = do
let result = eitherDecode raw :: Either String Configuration
case result of
Left message -> throwError $ "Error parsing configuration file: " ++ message
Right configuration -> return configuration
This works, but the IO monad in parseConfiguration is not necessary, and should go away. But I can't just drop it, of course, and I have not yet found a way to change parseConfiguration to something pure while keeping the prettyness of loadConfiguration.
What is the correct way to write this? If this is answered in the documentation, I am sorry, but I did not find it. I think reading the hackage documentation is a skill that grows as slowly as the rest of my Haskell skills. =)
P.S.: Comments on other style mistakes are, of course, very welcome!
If you are already using mtl, then the solution given by bheklilr in his comment is a good one. Make parseConfiguration work on any monad that implements MonadError.
If for whatever reason you are not using mtl, but only transformers, then you need'll a function with a type like Monad n => Except e a -> ExceptT e n a that "hoists" an Except into an ExceptT over some monad.
We can build this function using mapExceptT :: (m (Either e a) -> n (Either e' b)) -> ExceptT e m a -> ExceptT e' n b, a function that can change the base monad of an ExceptT transformer.
Except is really ExceptT Identity, so what we want is to unwrap the Identity and return the value in the new monad:
hoistExcept :: Monad n => Except e a -> ExceptT e n a
hoistExcept = mapExceptT (return . runIdentity)
You could also define it this way:
hoistExcept :: Monad n => Except e a -> ExceptT e n a
hoistExcept = ExceptT . return . runIdentity . runExceptT

How do I combine IOError exceptions with locally relevant exceptions?

I am building a Haskell application and trying to figure out how I am going to build the error handling mechanism. In the real application, I'm doing a bunch of work with Mongo. But, for this, I'm going to simplify by working with basic IO operations on a file.
So, for this test application, I want to read in a file and verify that it contains a proper fibonnacci sequence, with each value separated by a space:
1 1 2 3 5 8 13 21
Now, when reading the file, any number of things could actually be wrong, and I am going to call all of those exceptions in the Haskell usage of the word.
data FibException = FileUnreadable IOError
| FormatError String String
| InvalidValue Integer
| Unknown String
instance Error FibException where
noMsg = Unknown "No error message"
strMsg = Unknown
Writing a pure function that verifies the sequence and throws an error in the case that the sequence is invalid is easy (though I could probably do better):
verifySequence :: String -> (Integer, Integer) -> Either FibException ()
verifySequence "" (prev1, prev2) = return ()
verifySequence s (prev1, prev2) =
let readInt = reads :: ReadS Integer
res = readInt s in
case res of
[] -> throwError $ FormatError s
(val, rest):[] -> case (prev1, prev2, val) of
(0, 0, 1) -> verifySequence rest (0, 1)
(p1, p2, val') -> (if p1 + p2 /= val'
then throwError $ InvalidValue val'
else verifySequence rest (p2, val))
_ -> throwError $ InvalidValue val
After that, I want the function that reads the file and verifies the sequence:
type FibIOMonad = ErrorT FibException IO
verifyFibFile :: FilePath -> FibIOMonad ()
verifyFibFile path = do
sequenceStr <- liftIO $ readFile path
case (verifySequence sequenceStr (0, 0)) of
Right res -> return res
Left err -> throwError err
This function does exactly what I want if the file is in the invalid format (it returns Left (FormatError "something")) or if the file has a number out of sequence (Left (InvalidValue 15)). But it throws an error if the file specified does not exist.
How do I catch the IO errors that readFile may produce so that I can transform them into the FileUnreadable error?
As a side question, is this even the best way to do it? I see the advantage that the caller of verifyFibFile does not have to set up two different exception handling mechanisms and can instead catch just one exception type.
You might consider EitherT and the errors package in general. http://hackage.haskell.org/packages/archive/errors/1.3.1/doc/html/Control-Error-Util.html has a utility tryIO for catching IOError in EitherT and you could use fmapLT to map error values to your custom type.
Specifically:
type FibIOMonad = EitherT FibException IO
verifyFibFile :: FilePath -> FibIOMonad ()
verifyFibFile path = do
sequenceStr <- fmapLT FileUnreadable (tryIO $ readFile path)
hoistEither $ verifySequence sequenceStr (0, 0)
#Savanni D'Gerinel: you are on the right track. Let's extract your error-catching code from verifyFibFile to make it more generic, and modify it slightly so that it works directly in ErrorT:
catchError' :: ErrorT e IO a -> (IOError -> ErrorT e IO a) -> ErrorT e IO a
catchError' m f =
ErrorT $ catchError (runErrorT m) (fmap runErrorT f)
verifyFibFile can now be written as:
verifyFibFile' :: FilePath -> FibIOMonad ()
verifyFibFile' path = do
sequenceStr <- catchError' (liftIO $ readFile path) (throwError . FileUnReadable)
ErrorT . return $ verifySequence sequenceStr' (0, 0)
Notice what we have done in catchError'. We have stripped the ErrorT constructor from the ErrorT e IO a action, and also from the return value of the error-handling function, knowing than we can reconstruct them afterwards by wrapping the result of the control operation in ErrorT again.
Turns out that this is a common pattern, and it can be done with monad transformers other than ErrorT. It can get tricky though (how to do this with ReaderT for example?). Luckily, the monad-control packgage already provides this functionality for many common transformers.
The type signatures in monad-control can seem scary at first. Start by looking at just one function: control. It has the type:
control :: MonadBaseControl b m => (RunInBase m b -> b (StM m a)) -> m a
Let's make it more specific by making b be IO:
control :: MonadBaseControl IO m => (RunInBase m IO -> IO (StM m a)) -> m a
m is a monad stack built on top of IO. In your case, it would be ErrorT IO.
RunInBase m IO is a type alias for a magical function, that takes a value of type m a and returns a value of type IO *something*, something being some complex magic that encodes the state of the whole monad stack inside IO and lets you reconstruct the m a value afterwards, once you have "fooled" the control operation that only accepts IO values. control provides you with that function, and also handles the reconstruction for you.
Applying this to your problem, we rewrite verifyFibFile once more as:
import Control.Monad.Trans.Control (control)
import Control.Exception (catch)
verifyFibFile'' :: FilePath -> FibIOMonad ()
verifyFibFile'' path = do
sequenceStr <- control $ \run -> catch (run . liftIO $ readFile path)
(run . throwError . FileUnreadable)
ErrorT . return $ verifySequence sequenceStr' (0, 0)
Keep in mind that this only works when the proper instance of MonadBaseControl b m exists.
Here is a nice introduction to monad-control.
So, here's an answer that I have developed. It centers around getting readFile wrapped into the proper catchError statement, and then lifted.
verifyFibFile :: FilePath -> FibIOMonad ()
verifyFibFile path = do
contents <- liftIO $ catchError (readFile path >>= return . Right) (return . Left . FileUnreadable)
case contents of
Right sequenceStr' -> case (verifySequence sequenceStr' (0, 0)) of
Right res -> return res
Left err -> throwError err
Left err -> throwError err
So, verifyFibFile gets a little more nested in this solution.
readFile path has type IO String, obviously. In this context, the type for catchError will be:
catchError :: IO String -> (IOError -> IO String) -> IO String
So, my strategy was to catch the error and turn it into the left side of an Either, and turn the successful value into the right side, changing my data type to this:
catchError :: IO (Either FibException String) -> (IOError -> IO (Either FibException String)) -> IO (Either FibException String)
I do this by, in the first parameter, simply wrapping the result into Right. I figure that I won't actually execute the return . Right branch of the code unless readFile path was successful. In the other parameter to catch, I start with an IOError, wrap it in Left, and then return it back into the IO context. After that, no matter what the result is, I lift the IO value up into the FibIOMonad context.
I'm bothered by the fact that the code gets even more nested. I have Left values, and all of those Left values get thrown. I'm basically in an Either context, and I had thought that one of the benefits Either's implementation of the Monad class was that Left values would simply be passed along through the binding operations and that no further code in that context would be executed. I would love some elucidation on this, or to see how the nesting can be removed from this function.
Maybe it can't. It does seem that the caller, however, can call verifyFibFile repeatedly and execution basically stops the first time verifyFibFile returns an error. This works:
runTest = do
res <- verifyFibFile "goodfib.txt"
liftIO $ putStrLn "goodfib.txt"
--liftIO $ printResult "goodfib.txt" res
res <- verifyFibFile "invalidValue.txt"
liftIO $ putStrLn "invalidValue.txt"
res <- verifyFibFile "formatError.txt"
liftIO $ putStrLn "formatError.txt"
Main> runErrorT $ runTest
goodfib.txt
Left (InvalidValue 17)
Given the files that I have created, both invalidValue.txt and formatError.txt cause errors, but this function returns Left (InvalidValue ...) for me.
That's okay, but I still feel like I've missed something with my solution. And I have no idea whether I'll be able to translate this into something that makes MongoDB access more robust.

Converting a monadic function to an IO monadic function

parseSource :: String -> Either ParserError Mod.Module
parseSource src = do
(imports, rest) <- parseImports (Lex.lexSource src)
bindings <- mapM parseBinding rest
buildModule imports bindings
I need to make the above return an IO (Either ParserError Mod.Module) as the buildModule statement at the end will need to perform some IO functions (reading files). The problem i have is that when i make it an IO function, i can no longer do the bind(wrong term?) <- operations.
What is the simplest way to make this work?
Take a look at defining your problem in terms of ErrorT ParseError IO.
I couldn't find a combinator to lift a pure Either computation into the ErrorT monad, so I wrote one called liftError. I fleshed out your example with dummy types and implementations. The main runs the parser twice, once with input that throws a ParserError, and once which succeeds with an IO side-effect. In order for ErrorT ParserError IO to be a Monad, ParserError must be an instance of Error (so that it is possible to implement fail).
import Control.Monad.Error
type ParserMonad = ErrorT ParserError IO
data ParserError = ParserError1 | ParserError2 | ParserError3
deriving(Show)
data Module = Module
deriving(Show)
data Import = Import
deriving(Show)
data Binding = Binding
deriving(Show)
instance Error ParserError where
noMsg = undefined
-- lift a pure Either into the ErrorT monad
liftError :: Monad m => Either e a -> ErrorT e m a
liftError = ErrorT . return
parseSource :: String -> ParserMonad Module
parseSource src = do
(imports, rest) <- liftError $ parseImports (lexSource src)
bindings <- liftError $ mapM parseBinding rest
buildModule imports bindings
lexSource :: String -> [String]
lexSource = return
parseImports :: [String] -> Either ParserError ([Import], [String])
parseImports toks = do{ when (null toks) $ throwError ParserError1
; return ([Import], toks)
}
parseBinding :: String -> Either ParserError Binding
parseBinding b = do{ when (b == "hello") $ throwError ParserError2
; return Binding
}
buildModule :: [Import] -> [Binding] -> ParserMonad Module
buildModule i b = do{ liftIO $ print "hello"
; when (null b) $ throwError ParserError3
; return Module
}
main = mapM (runErrorT . parseSource) ["hello", "world"]

Resources